Vice President, Data Scientist

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Vice President, Data Scientist to join our AI Hub Engineering team. This role is located in Dublin, Ireland and will be working in a hybrid capacity.

In this role, you’ll make an impact in the following ways:

Develop AI/ML and Generative AI / LLM models to address challenging and impactful business problems for BNY, from proof of concepts to production-level deliverables, and produce thorough model evaluation and documentation in order to support decision and assess model risk
Define, create and maintain actionable insights using data science and statistical analysis. Prepare assessments to provide business decision-supporting facts
Thoroughly evaluate models and produce supporting documentation, thoroughly assess analysis results to ensure correct business decision-supporting
Develop innovative solutions and produce patent disclosures to demonstrate RD&I
Collaborate with colleagues and subject matter experts (SME) to obtain data and domain knowledge needed to conduct advanced reviews
Continuously support and develop skills across AI/ML and GenAI and increase the business acumen
Stay highly up to date with the latest advances in AI/GenAI, technology innovations and banking industry trends. Share the findings with the team, recommend areas for improvement, and promote adoption of AI tools and platforms
Be proactive and autonomous in solving problems, demonstrate a strong sense of ownership and urgency

To be successful in this role, we’re seeking the following:

PhD degree in STEM degrees, or equivalent work experience with experience preferred in related fields
Experience in the securities or financial services industry is a plus
Deep understanding of applied data science, ML, NLP (e.g. feature engineering, supervised/unsupervised learning, predictive analytics, clustering, anomaly detection, sentiment analysis, entity recognition), and GenAI/LLM
Good understanding of Responsible AI principles (e.g. Fairness, Accountability, Transparency, Ethics) and AI Governance in finance
Strong and proven hands-on experience implementing solutions (e.g. Python, scikit-learn, pandas, keras, TensorFlow/PyTorch, GPT models)
Strong communication skills (presenting, writing) and highly collaborative mindset
Innovative mindset and creative thinking demonstrated by publications and patents

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom
BNY LinkedIn

Here’s a few of our recent awards:

America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune, 2025
“Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Vice President, Data Scientist I

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